采用基于时域特征扩展和基于正交分解特征扩展两种方式建立过程神经元网络模型，利用电力负荷数据进行网络训练和负荷预测。
The two different ways based on the time-domain feature expansion and the orthogonal decomposition feature expansion are used to establish process neural networks model.
本文采用自然正交函数分解法对我国南方地区的降水气候序列与夏季（5～8月）逐日降水序列进行时空特征分析和对应天气形势分析。
In this paper the climatology of the precipitation, the daily rainfall series of months 5-8 and the correlative weather systems are analysed.
本文采用自然正交函数分解法对我国南方地区的降水气候序列与夏季（5～8月）逐日降水序列进行时空特征分析和对应天气形势分析。
In this paper the climatology of the precipitation, the daily rainfall series of months 5-8 and the correlative weather systems are analysed.
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